Accepted Workshops
Workshop participation is also possible without an accepted WS submission.
However, registration is mandatory. Registrations can be modified via mail:
mobilehci-reg@acm.org
Webpage URL: http://ai-enhanced-cognition.com/mobichai25/
Short Description:
Enhancing human cognition has always been a key driver of innovation and societal advancement.
Cognition-altering technologies (CAT) aim to improve cognitive capabilities, impacting fields
such as education, decision-making, healthcare, and productivity. With the rise of
Human-Centered AI (HCAI) and Hybrid-Human-AI (HHAI), there is an unprecedented opportunity to
develop technologies that not only mimic but also actively augment human cognition in real-life
scenarios. This will be the focus of this year’s MobiCHAI Workshop.
Organizers:
Dr. Agnes Gruenerbl - German Research Center for Artificial Intelligence
Jan Spilski - Center for Cognitive Science
Dr Giulia Barbareschi - Keio Graduate School of Media Design
Kai Kunze - Keio University Graduate School of Media Design
Prof Thomas Lachmann - Center for Cognitive Science
Passant ElAgroudy - German Research Center for Artificial Intelligence
Paul Lukowicz - German Research Center for Artificial Intelligence
Webpage URL: https://apps-to-actions-workshop.my.canva.site/
Short Description:
As mobile applications evolve from isolated functions into interconnected ecosystems, we need
design principles that empower users to create meaningful automation based on their specific
contexts and intentions. Today, users spend only a short time within a single app and often
navigate an ecosystem of multiple apps, each serving a different purpose. This pattern of brief,
task-oriented interactions highlights a disconnect between how developers traditionally design
apps as standalone experiences and how users actually integrate them into their daily workflows.
We propose this workshop to discuss and ideate ways to create and interact with action sequences
across multiple apps, enabling more efficient experiences that better match users' contextual
needs. We invite contributions from the mobile HCI community—including researchers, interaction
designers, visual artists, software engineers, and product developers—to share experiences and
insights on designing across different mobile applications.
Organizers:
Anastasiya Zakreuskaya - Université Paris-Saclay
Katerina Andreadis - Population Health, NYU Langone Health
Graham Dove - Tandon School of Engineering
Jie Li - Human-AI Symbiosis Alliance
Thomas Kosch - HU Berlin
Webpage URL: https://www.hcilab.org/aiandsociety25/
Short Description:
Social media platforms constitute an essential part of many people’s mobile device usage. Their
contents have adapted to the mobile form factor, e.g., through an increase of short-form video
and content recommendation instead of navigation and active selection. Social media systems
thereby have a strong influence on individuals and society, for example, concerning public
discourse and opinion-making. The rise of AI-generated content and LLM-backed autonomous agents
even pushes such developments.This workshop discusses social media’s recent developments and
yielding positive and negative effects on our society. Participants will share their
perspectives of HCI research on social media systems and the research aims they are pursuing. In
this workshop, we outline opportunities in joining insights from social sciences with the
potential of recent developments in Human-Computer Interaction approaches. Interface design
ideas will be explored and discussed with the research community, synthesizing collective
challenges, promising future directions, and strategies for research that mitigate the negative
effects of AI in social media systems on our society.
Organizers:
Florian Bemmann - LMU Munich
Matthias Schmidmaier - LMU Munich
Viktorija Paneva - LMU Munich
Doruntina Murtezaj - LMU Munich
Alexander Wiethoff - LMU Munich
Sven Mayer - LMU Munich
Webpage URL: https://re-tronics.eu/events/odisi
Short Description:
As interactive technology increasingly shifts towards more seamless and natural user
experiences, there is a growing need for adaptive and responsive interactions that can
intuitively react to user behavior and environmental changes. Embedded AI, which enables
real-time, on-device processing, plays a crucial role in achieving this by reducing latency,
enhancing privacy, and ensuring continuous functionality even in offline scenarios. Meanwhile,
smart textiles offer a novel and versatile input modality, allowing for richer interaction
through touch, motion, and physiological sensing. The ODISI workshop explores the integration of
these technologies, focusing on deploying AI models on resource-constrained devices such as
microcontrollers, smartphones, and smartwatches. By combining embedded AI with smart textiles,
this workshop aims to advance research in real-time adaptive interfaces, covering key topics
such as AI deployment strategies, innovative sensor integration, design considerations,
efficient processing pipelines, and ethical concerns. Featuring interactive presentations,
hands-on tutorials, and collaborative activities, this full-day event will foster new insights
and developments in AI-driven wearable and mobile interactions.
Organizers:
Bo Zhou - German Research Center for Artificial Intelligence
Passant ElAgroudy - German Research Center for Artificial Intelligence
Paul Lukowicz - German Research Center for Artificial Intelligence
Daniel Geißler - German Research Center for Artificial Intelligence
Mengxi Liu - German Research Center for Artificial Intelligence
Dr. Sizhen Bian - German Research Center for Artificial Intelligence
PhD David J. Cuartielles - Malmo University & Arduino
Felix Dietz - University of the Bundeswehr Munich
Oliver Hein - University of the Bundeswehr Munich
Pascal Knierim
University of
Innsbruck, Austria
Andrew Kun
University of New
Hampshire, USA